Recently, research interest in brain‐inspired neuromorphic computing based on robust and
intelligent artificial neural networks has surged owing to the ability of such technology to …

In this study, the authors fabricate Sn‐doped 100‐nm thick polycrystalline β‐Ga2O3 synaptic
field‐effect transistors (FETs) emulating optical and electrical spike stimulation. When …

Brain-inspired neuromorphic computing emulates the biological functions of the human
brain to achieve highly intensive data processing with low power consumption. In particular …

Artificial neural visual electronic devices have attracted great research interest in the fields of
low-power and high-efficiency pattern recognition. However, emulating the hyperpolarized …

Emulating neural behaviors at the synaptic level is of great significance for building
neuromorphic computational systems and realizing artificial intelligence. Here, oxide-based …

The continuous growth in artificial intelligence and high-performance computing has
necessitated the development of efficient optoelectronic artificial synapses crucial for …

Neuromorphic chips refer to an unconventional computing architecture that is modelled on
biological brains. They are increasingly employed for processing sensory data for machine …

The brain‐inspired neuromorphic parallel computing has become one of the most promising
technologies for efficient information processing by overcoming the von Neumann …

The practical application of optoelectronic artificial synapses in neuromorphic visual systems
is still hindered by their limited functionality, reliability and the challenge of mass production …

Artificial synapses that integrate functions of sensing, memory and computing are highly
desired for developing brain-inspired neuromorphic hardware. In this work, an …